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log_kecg_wo_k.txt
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log_kecg_wo_k.txt
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loading raw data...
-----dataset summary-----
dataset: data/DBP15K/zh_en
triple num: 165556
entity num: 38960
relation num: 3024
train ill num: 4500 test ill num: 10500
-------------------------
getting a sparse tensor r_adj...
GAT(
(layer_stack): ModuleList(
(0): MultiHeadGraphAttention (128 -> 128) * 2 heads
(1): MultiHeadGraphAttention (128 -> 128) * 2 heads
)
)
Adagrad (
Parameter Group 0
initial_accumulator_value: 0
lr: 0.001
lr_decay: 0
weight_decay: 0
)
training...
w\o K
train pos/neg_pairs shape: torch.Size([112500])
loss_CG in epoch 0: 2.997608, time: 0.8833 s
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loss_CG in epoch 1: 2.990326, time: 0.9339 s
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loss_CG in epoch 2: 2.984505, time: 0.8911 s
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loss_CG in epoch 3: 2.979427, time: 0.9036 s
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loss_CG in epoch 4: 2.974766, time: 0.8910 s
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loss_CG in epoch 5: 2.989034, time: 4.4066 s
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loss_CG in epoch 6: 2.986807, time: 0.8867 s
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loss_CG in epoch 7: 2.985246, time: 0.8918 s
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loss_CG in epoch 8: 2.984074, time: 0.9096 s
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loss_CG in epoch 9: 2.983057, time: 0.8918 s
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loss_CG in epoch 10: 2.982331, time: 4.5812 s
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loss_CG in epoch 11: 2.981369, time: 0.8892 s
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loss_CG in epoch 12: 2.980472, time: 0.9017 s
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loss_CG in epoch 13: 2.979603, time: 0.8887 s
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loss_CG in epoch 14: 2.978766, time: 0.9131 s
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loss_CG in epoch 15: 2.978034, time: 4.2886 s
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loss_CG in epoch 16: 2.977267, time: 0.8981 s
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loss_CG in epoch 17: 2.976542, time: 0.8938 s
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loss_CG in epoch 18: 2.975827, time: 0.8959 s
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loss_CG in epoch 19: 2.975150, time: 0.9221 s
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loss_CG in epoch 20: 2.974512, time: 4.4248 s
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loss_CG in epoch 21: 2.973881, time: 0.8932 s
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loss_CG in epoch 22: 2.973256, time: 0.8958 s
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loss_CG in epoch 23: 2.972652, time: 0.8990 s
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loss_CG in epoch 24: 2.972059, time: 0.9155 s
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loss_CG in epoch 25: 2.971508, time: 4.4255 s
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loss_CG in epoch 26: 2.970942, time: 0.8926 s
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loss_CG in epoch 27: 2.970394, time: 0.8996 s
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loss_CG in epoch 28: 2.969851, time: 0.8975 s
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loss_CG in epoch 29: 2.969331, time: 0.9017 s
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loss_CG in epoch 30: 2.968824, time: 4.0935 s
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loss_CG in epoch 31: 2.968328, time: 0.8927 s
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loss_CG in epoch 32: 2.967826, time: 0.9002 s
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loss_CG in epoch 33: 2.967349, time: 0.8968 s
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loss_CG in epoch 34: 2.966864, time: 0.9135 s
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loss_CG in epoch 35: 2.966407, time: 4.2920 s
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loss_CG in epoch 36: 2.965936, time: 0.9003 s
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loss_CG in epoch 37: 2.965488, time: 0.8983 s
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loss_CG in epoch 38: 2.965028, time: 0.8998 s
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loss_CG in epoch 39: 2.964590, time: 0.9098 s
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loss_CG in epoch 40: 2.964155, time: 4.1468 s
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loss_CG in epoch 41: 2.963736, time: 0.8985 s
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loss_CG in epoch 42: 2.963306, time: 0.8953 s
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loss_CG in epoch 43: 2.962895, time: 0.9169 s
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loss_CG in epoch 44: 2.962475, time: 0.9121 s
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loss_CG in epoch 45: 2.962080, time: 4.2612 s
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loss_CG in epoch 46: 2.961668, time: 0.8950 s
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loss_CG in epoch 47: 2.961280, time: 0.8939 s
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loss_CG in epoch 48: 2.960875, time: 0.9087 s
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loss_CG in epoch 49: 2.960496, time: 0.8951 s
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loss_CG in epoch 50: 2.960105, time: 4.0732 s
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loss_CG in epoch 51: 2.959734, time: 0.8995 s
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loss_CG in epoch 52: 2.959346, time: 0.9159 s
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loss_CG in epoch 53: 2.958983, time: 0.8975 s
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loss_CG in epoch 54: 2.958602, time: 0.9032 s
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loss_CG in epoch 55: 2.958250, time: 4.3496 s
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loss_CG in epoch 56: 2.957877, time: 0.8993 s
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loss_CG in epoch 60: 2.956464, time: 4.0131 s
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loss_CG in epoch 98: 2.944895, time: 0.9095 s
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loss_CG in epoch 99: 2.944634, time: 0.9219 s
epoch 99, checkpoint!
l2r: acc of top [1, 5, 10, 50, 100] = [0.4277 0.6963 0.7856 0.8902 0.913 ], mr = 213.091, mrr = 0.547, time = 6.3595 s
r2l: acc of top [1, 5, 10, 50, 100] = [0.4092 0.672 0.7614 0.8717 0.8986], mr = 244.746, mrr = 0.526, time = 6.3600 s
w\o K
loss_CG in epoch 100: 2.944354, time: 4.1099 s
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loss_CG in epoch 101: 2.944097, time: 0.9029 s
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loss_CG in epoch 102: 2.943817, time: 0.9018 s
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loss_CG in epoch 105: 2.943035, time: 4.1606 s
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loss_CG in epoch 160: 2.930009, time: 4.2245 s
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loss_CG in epoch 161: 2.929803, time: 0.9103 s
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loss_CG in epoch 162: 2.929579, time: 0.9169 s
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loss_CG in epoch 165: 2.928950, time: 4.1622 s
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epoch 199, checkpoint!
l2r: acc of top [1, 5, 10, 50, 100] = [0.43 0.7009 0.79 0.8964 0.9172], mr = 193.418, mrr = 0.550, time = 6.3892 s
r2l: acc of top [1, 5, 10, 50, 100] = [0.4148 0.6819 0.7723 0.8835 0.9078], mr = 201.093, mrr = 0.534, time = 6.3896 s
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epoch 299, checkpoint!
l2r: acc of top [1, 5, 10, 50, 100] = [0.4308 0.701 0.7923 0.8975 0.9191], mr = 189.425, mrr = 0.551, time = 6.3965 s
r2l: acc of top [1, 5, 10, 50, 100] = [0.4143 0.6855 0.7765 0.887 0.9099], mr = 191.644, mrr = 0.535, time = 6.3968 s
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epoch 399, checkpoint!
l2r: acc of top [1, 5, 10, 50, 100] = [0.4314 0.702 0.792 0.8968 0.9198], mr = 189.361, mrr = 0.551, time = 6.5103 s
r2l: acc of top [1, 5, 10, 50, 100] = [0.416 0.6851 0.7766 0.8874 0.9106], mr = 190.517, mrr = 0.537, time = 6.5108 s
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w\o K
loss_CG in epoch 447: 2.881874, time: 0.9319 s
w\o K
loss_CG in epoch 448: 2.881735, time: 0.9120 s
w\o K
loss_CG in epoch 449: 2.881594, time: 0.9038 s
w\o K
loss_CG in epoch 450: 2.881456, time: 4.0971 s
w\o K
loss_CG in epoch 451: 2.881317, time: 0.9195 s
w\o K
loss_CG in epoch 452: 2.881178, time: 0.9122 s
w\o K
loss_CG in epoch 453: 2.881038, time: 0.9041 s
w\o K
loss_CG in epoch 454: 2.880900, time: 0.9099 s
w\o K
loss_CG in epoch 455: 2.880761, time: 4.1469 s
w\o K
loss_CG in epoch 456: 2.880623, time: 0.9147 s
w\o K
loss_CG in epoch 457: 2.880483, time: 0.9083 s
w\o K
loss_CG in epoch 458: 2.880345, time: 0.9063 s
w\o K
loss_CG in epoch 459: 2.880206, time: 0.9040 s
w\o K
loss_CG in epoch 460: 2.880068, time: 4.1045 s
w\o K
loss_CG in epoch 461: 2.879930, time: 0.9042 s
w\o K
loss_CG in epoch 462: 2.879792, time: 0.9032 s
w\o K
loss_CG in epoch 463: 2.879654, time: 0.9110 s
w\o K
loss_CG in epoch 464: 2.879516, time: 0.9220 s
w\o K
loss_CG in epoch 465: 2.879380, time: 4.2849 s
w\o K
loss_CG in epoch 466: 2.879242, time: 0.9052 s
w\o K
loss_CG in epoch 467: 2.879105, time: 0.9021 s
w\o K
loss_CG in epoch 468: 2.878966, time: 0.9041 s
w\o K
loss_CG in epoch 469: 2.878829, time: 0.9117 s
w\o K
loss_CG in epoch 470: 2.878690, time: 4.1495 s
w\o K
loss_CG in epoch 471: 2.878555, time: 0.9095 s
w\o K
loss_CG in epoch 472: 2.878416, time: 0.9027 s
w\o K
loss_CG in epoch 473: 2.878280, time: 0.9066 s
w\o K
loss_CG in epoch 474: 2.878142, time: 0.9148 s
w\o K
loss_CG in epoch 475: 2.878006, time: 4.1089 s
w\o K
loss_CG in epoch 476: 2.877868, time: 0.9061 s
w\o K
loss_CG in epoch 477: 2.877734, time: 0.9061 s